How To Set Up A Modern Data Stack
Learn what to identify in each component of a modern data stack and how to customize it to meet your business needs.
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Modern Data Stack
Learn how a Modern Data Stack will propel your business insights ahead of the competition
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Automation Unites Development Teams and Analysts
Automated data pipelines allow analysts to access the data they need while freeing engineering teams to focus on higher-value projects.
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How To Load Data into Snowflake with Fivetran
Fivetran makes loading data into Snowflake simple and secure. After showing you how to connect your sources, we’ll discuss Fivetran architecture and security and demo our new transformation tool.
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Modern Data Stack Demo
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Fivetran Technical Workshop - Automating Your Data Pipelines
How workflow systems are shifting to keep up with the speed of business.
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8 Criteria for Choosing the Perfect BI Tool
BI tools vary widely in terms of feature sets, capabilities, and price, so the choice can be tricky. Applying the eight criteria we discuss here will help you efficiently evaluate your options.
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Build vs Buy Data Pipeline Guide
As you pursue data integration, be sure to consider the benefits an automated, off-the-shelf solution may bring you.
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The Essential Guide to Data Integration
Learn how data integration allows your organization to maintain all of its data in a single environment, so your team has a comprehensive view of business operations and customer interactions.
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2020 Data Warehouse Benchmark
This benchmark report compares the speed and cost of five of the most popular data warehouses: Amazon Redshift, Snowflake, Google BigQuery, and Presto.
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DonorsChoose Makes the Right Choice With a Modern Data Stack
With Fivetran, Redshift and Looker, DonorsChoose easily adds new data sources, migrates its production database and visualizes its app performance.
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What Is the Ideal Cloud Data Warehouse Platform?
Traditional data warehouse architectures feature a multitude of limitations, but the cloud offers ways to transcend them.
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Databricks and Fivetran Team Up to Complete the Picture for Your Lakehouse
Fivetran and Databricks team up to solve two of the biggest challenges in data architecture.
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Fivetran CEO: Competitive Analytics Requires Modern Architecture
At Tableau Conference 2019, George Fraser explained why the best analytics programs incorporate automated data integration and cloud data warehouse technology.
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DocuSign Regains Engineering Time and Saves Money With Automated Data Pipelines
With Fivetran and Snowflake, DocuSign triples its data sources, refocuses its engineering efforts, and achieves greater visibility into data with 100+ BI dashboards.
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Digital Virgo Replaces 10-Year-Old Legacy Pipeline Solution With Fivetran
Advised by Sutter Mills, Digital Virgo brings on Fivetran, Snowflake, Looker and Tableau to centralise data from over 300 global Google Ads accounts.
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Guest Post: What Is Data Governance?
Learn what data governance is and why your organization will need it as it embraces data literacy.
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Keller Sports Saves 50% of IT Time With Fully Managed Pipelines
With Fivetran, Snowflake and Tableau, Keller Sports regains time previously spent writing scripts and manually extracting data and presents the business with data it can trust.
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Digital Marketing Agencies White Label Fivetran, Speed Up Development With "Powered by Fivetran"
Powered by Fivetran (PBF) provides a simple framework that allows developers to go beyond internal analytics and build data pipelines into their applications within the Fivetran platform.
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Easily Analyze NetSuite Data in Tableau
Fivetran removes the obstacles with plug-and-play templates and ready-to-use transformations.
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Fivetran and Looker Help Label Insight Build the Perfect Data Stack
Label Insight leverages Fivetran data connectors to centralize all its data in BigQuery and create a single source of truth for its CPG information. Now 70% of its workforce uses Looker to run...
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Digital Marketing Agency Crossmedia Delivers Advanced Data Products With "Powered by Fivetran"
Crossmedia can now build centralized marketing warehouses for clients in days instead of weeks.
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